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Jha, Girish K.
- Discerning Sustainable Interaction Between Agriculture and Energy in India
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PDF Views:82
Authors
Affiliations
1 Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 120, No 12 (2021), Pagination: 1833-1839Abstract
In India, traditionally, the relationship between agriculture and energy has been unidirectional, with agriculture using energy as input in crop production. However, of late, the energy sector is also using agricultural by-products as renewable-fuel feedstock. We examine the dual role of agriculture as a producer as well as consumer of energy. The study finds that the total commercial energy input in agriculture has increased. As an energy producer, the role of the agriculture sector is to produce biofuels which are considered as backstop technology to fossil fuel-based energy sources. However, there are sustainability issues as biofuel crops compete with food crops for resources.Keywords
Agriculture, Biofuels, Energy, Renewable Fuel, Sustainable Interaction.Full Text
References
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- Agricultural Price Forecasting Using NARX Model for Soybean Oil
Abstract Views :91 |
PDF Views:56
Authors
Affiliations
1 ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110 012, IN
2 ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110 012, IN
1 ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110 012, IN
2 ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi 110 012, IN
Source
Current Science, Vol 125, No 1 (2023), Pagination: 79-84Abstract
The non-linear, non-stationary and complicated nature of agricultural price series makes their accurate forecasting extremely challenging. In comparison to standard statistical methods, artificial neural networks (ANN) have demonstrated promising results for predicting such series. However, the incorporation of auxiliary information can improve prediction accuracy if it is closely linked to the target series. A dynamical neural architecture called a non-linear autoregressive model with exogenous input (NARX) carefully makes use of the auxiliary information to construct a data-dependent non-linear forecasting model. The study explores the performance of NARX model for the real price series of soybean oil (soybean) using soybean (soybean oil) price as exogenous inputs. NARX models outperform ARIMA, ARIMAX and ANN models in terms of RMSE, MAPE, MASE and directional statistics as evaluation criteria. Further, the Diebold-Mariano test confirms a significant improvement in its predictive accuracy.Keywords
Artificial Neural Networks, Mean Absolute Scaled Error, NARX, Price Forecasting, Soybean Oil.Full Text
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- Jaiswal, R., Jha, G. K., Kumar, R. R. and Choudhary, K., Deep long short-term memory based model for agricultural price forecasting. Neural Comput. Appl., 2022, 34, 4661–4676.
- Jha, G. K. and Sinha, K., Agricultural price forecasting using neural network model: an innovative information delivery system. Agric. Econ. Res. Rev., 2013, 26, 229–239.
- A Study on Consumer Awareness, Perception and Willingness to Pay for Biofortified Products in Delhi, India
Abstract Views :56 |
PDF Views:37
Authors
Affiliations
1 Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
2 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
1 Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
2 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
Source
Current Science, Vol 125, No 7 (2023), Pagination: 728-736Abstract
Malnutrition, which can perpetuate a cycle of poverty and ill health, will disproportionately impact people. Biofortification is an initiative to ensure improved nutritional outcomes in developing countries, where approaches to food supplements and commercially marketed fortified foods are limited. A primary survey was carried out in and around the National Capital Territory (NCT) of Delhi, India. A total of 134 respondents from urban and 123 respondents from rural areas were interviewed. The results revealed that the majority of respondents in urban areas (72%) presumed that biofortified products were higher in micronutrients than those in rural areas (49%). The findings reveal that age and gender negatively impact consumer awareness of biofortification, while education, food habits and income exert a positive and significant impact. The policy implications drawn should enable the development of consumer-based food products by creating a niche market and using an appropriate marketing channel to increase consumer acceptance and WTP.Keywords
Biofortification, Consumer Awareness, Malnutrition, Perception, Willingness to Pay.Full Text
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